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Submit evaluation results for ChakraTS
#46
by shubham-yhatlabs - opened
Evaluation results of ChakraTS on the TIME benchmark: 98/98 tasks, config.json, metrics.npz and predictions.npz per task, plus a summary README.
ChakraTS is a pretrained time-series model from YHat Labs, served through an API (model card: https://huggingface.co/yhatlabs/ChakraTS). The results are zero-shot for its TIME configuration (chakra-ts-time); no TIME data was used in training. Univariate forecasting of every variate, full context per window, quantiles 0.1 to 0.9, written with save_window_predictions at the official task settings. scripts/compute_local_leaderboard.py on this folder gives MASE (norm.) 0.639 / CRPS (norm.) 0.537.
Thank you for maintaining TIME.
shubham-yhatlabs changed pull request status to open
LGTM. Merged with thanks.
zqiao11 changed pull request status to merged